Abstract
Although diagnostic tests have already been developed in the past for differentiating the originally inseparable fault origins in several simple batch processes, their applicability in realistic systems is still questionable. To address this practical issue, the dynamic behavior of every processing unit involved in a given sequential operation is modeled here by integrating both the generic engineering knowledge and also the ASPEN-generated simulation data into a single automaton. The improved test plans can then be synthesized according to the system model obtained by assembling all such automata. The feasibility of this model building strategy is demonstrated with an example concerning the start-up operation of a flash process.
| Original language | English |
|---|---|
| Title of host publication | 2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 442-447 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781509043972 |
| DOIs | |
| Publication status | Published - 2017 Jul 18 |
| Event | 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017 - Taipei, Taiwan Duration: 2017 May 28 → 2017 May 31 |
Publication series
| Name | 2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017 |
|---|
Other
| Other | 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017 |
|---|---|
| Country | Taiwan |
| City | Taipei |
| Period | 17-05-28 → 17-05-31 |
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All Science Journal Classification (ASJC) codes
- Process Chemistry and Technology
- Industrial and Manufacturing Engineering
- Control and Optimization
- Modelling and Simulation
Cite this
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A hybrid modeling strategy for synthesizing diagnostic tests in sequential material- and energy-transfer operations. / Fong, Shih Ting; Wang, Chun Jung; Chang, Chuei-Tin.
2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 442-447 7983821 (2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - A hybrid modeling strategy for synthesizing diagnostic tests in sequential material- and energy-transfer operations
AU - Fong, Shih Ting
AU - Wang, Chun Jung
AU - Chang, Chuei-Tin
PY - 2017/7/18
Y1 - 2017/7/18
N2 - Although diagnostic tests have already been developed in the past for differentiating the originally inseparable fault origins in several simple batch processes, their applicability in realistic systems is still questionable. To address this practical issue, the dynamic behavior of every processing unit involved in a given sequential operation is modeled here by integrating both the generic engineering knowledge and also the ASPEN-generated simulation data into a single automaton. The improved test plans can then be synthesized according to the system model obtained by assembling all such automata. The feasibility of this model building strategy is demonstrated with an example concerning the start-up operation of a flash process.
AB - Although diagnostic tests have already been developed in the past for differentiating the originally inseparable fault origins in several simple batch processes, their applicability in realistic systems is still questionable. To address this practical issue, the dynamic behavior of every processing unit involved in a given sequential operation is modeled here by integrating both the generic engineering knowledge and also the ASPEN-generated simulation data into a single automaton. The improved test plans can then be synthesized according to the system model obtained by assembling all such automata. The feasibility of this model building strategy is demonstrated with an example concerning the start-up operation of a flash process.
UR - http://www.scopus.com/inward/record.url?scp=85034110724&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85034110724&partnerID=8YFLogxK
U2 - 10.1109/ADCONIP.2017.7983821
DO - 10.1109/ADCONIP.2017.7983821
M3 - Conference contribution
AN - SCOPUS:85034110724
T3 - 2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017
SP - 442
EP - 447
BT - 2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017
PB - Institute of Electrical and Electronics Engineers Inc.
ER -